{"id":"W4410867520","doi":"10.1007/s40670-025-02421-9","title":"Using EEG to Assess Cognitive Fatigue in Real Time: A Medical Simulation Study","year":2025,"lang":"en","type":"article","venue":"Medical Science Educator","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Calgary; University of Victoria; Island Health","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electroencephalography; Cognition; Psychology; Physical medicine and rehabilitation; Audiology; Cognitive psychology; Medicine; Applied psychology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005180147,0.0001294755,0.000375098,0.0003863124,0.0001606365,0.00004557137,0.0002786919,0.0001401072,0.001602125],"category_scores_gemma":[0.01799839,0.0001048665,0.00003965102,0.001859185,0.0004468284,0.0001344703,0.0001578064,0.0003870302,0.00007126859],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004683358,"about_ca_system_score_gemma":0.01250235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007166419,"about_ca_topic_score_gemma":0.0001257457,"domain_scores_codex":[0.9969152,0.0001647233,0.0004803138,0.0005583718,0.001421792,0.0004596433],"domain_scores_gemma":[0.9975343,0.001050744,0.0000365475,0.000238273,0.0001745229,0.0009655822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003424131,0.01275802,0.6558275,0.00015152,0.0001035871,0.0003814563,0.01151325,0.0004724938,0.01982898,0.0008044319,0.0005058073,0.2973105],"study_design_scores_gemma":[0.003597168,0.0004100934,0.675114,0.001115903,0.00007879025,0.00001076149,0.004357467,0.3130026,0.0004410589,0.00009964623,0.001512892,0.0002595725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853058,0.0000078813,0.001931096,0.009410253,0.0006047216,0.001018105,0.000001770124,0.00004053798,0.001679839],"genre_scores_gemma":[0.9971528,0.000001146497,0.0002586252,0.002134008,0.0001738709,0.00004398677,0.000002039843,0.000005608043,0.0002278993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3125301,"threshold_uncertainty_score":0.9993106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123227865779623,"score_gpt":0.4770880867913311,"score_spread":0.3647653002133687,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}